DETECTING DIFFERENTIAL ITEM FUNCTIONING IN 2019 BECE BASIC SCIENCE MULTIPLE CHOICE ITEMS ADMINISTERED IN SCHOOLS IN RIVERS STATE, NIGERIA

Autor: Wokoma T. Abbott
Rok vydání: 2021
Předmět:
Zdroj: EPRA International Journal of Multidisciplinary Research (IJMR). :357-365
ISSN: 2455-3662
DOI: 10.36713/epra7431
Popis: The study investigated items of 2019 basic science multiple choice, basic education certificate examination (BECE), conducted by the Rivers state ministry of education for junior secondary school three certification. The study attempted to detect differential item functioning of the administered items on urban and rural JSS3 students in Rivers State. A sample size of 240 students drawn from the entire JSS3 population in the state using multistage random sampling technique were used for the study; 120 from urban and 120 from rural schools. Comparative research design was adopted as the framework in this study. The 60 multiple choice 2019 basic science BECE items were used as instrument for data collection which were administered to the students. Items were dichotomously scored. R software was used for item analysis to determine difficulty and discrimination parameters in Two Parameter Logistic Model (2PLM) of Item Response Theory (IRT). R was also adopted to detect deferentially functioning items using Mantel-Haenszel DIF detection method. The study compared results between urban and rural students item characteristic curves, parameters, chi-square statistics, and p-values. It was discovered that urban students found more of the 2019 basic science BECE items easier than their counterparts in the rural areas. The study also revealed that some items deferentially functioned between the two groups when used to assess them. Based on the findings, it was recommended that basic science items for such assessment should be thoroughly checked for DIF, and if found, eliminated or edited before use. Both urban and rural students should be placed on the same condition of learning. KEYWORDS: Item Response Theory, Differential Item Functioning
Databáze: OpenAIRE